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Optimization of power system operation / Jizhong Zhu.

By: Material type: TextTextSeries: IEEE Press series on power engineeringPublisher: [Piscataway, NJ] : Hoboken, New Jersey : IEEE Press ; Wiley, [2015]Copyright date: ©2015Edition: Second editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118993491
  • 1118993497
  • 9781118887004
  • 111888700X
  • 1118854152
  • 9781118854150
Subject(s): Genre/Form: Additional physical formats: Print version:: Optimization of power system operation.DDC classification:
  • 621.3101/5196 23
LOC classification:
  • TK1005
Other classification:
  • TEC031000
Online resources:
Contents:
""Cover ""; ""Contents ""; ""Preface ""; ""Preface to the First Edition""; ""Acknowledgments""; ""Author Biography""; ""Chapter 1 Introduction ""; ""1.1 Power System Basics ""; ""1.1.1 Physical Components ""; ""1.1.2 Renewable Energy Resources ""; ""1.1.3 Smart Grid ""; ""1.2 Conventional Methods ""
""1.2.1 Unconstrained Optimization Approaches """"1.2.2 Linear Programming ""; ""1.2.3 Nonlinear Programming ""; ""1.2.4 Quadratic Programming ""; ""1.2.5 Newton's Method ""; ""1.2.6 Interior Point Methods ""; ""1.2.7 Mixed-Integer Programming ""; ""1.2.8 Network Flow Programming ""
""1.3 Intelligent Search Methods """"1.3.1 Optimization Neural Network ""; ""1.3.2 Evolutionary Algorithms ""; ""1.3.3 Tabu Search ""; ""1.3.4 Particle Swarm Optimization ""; ""1.4 Application of The Fuzzy Set Theory ""; ""References ""; ""Chapter 2 Power Flow Analysis ""
""2.1 Mathematical Model of Power Flow """"2.2 Newton-Raphson Method ""; ""2.2.1 Principle of Newton-Raphson Method ""; ""2.2.2 Power Flow Solution with Polar Coordinate System ""; ""2.2.3 Power Flow Solution with Rectangular Coordinate System ""; ""2.3 Gauss-Seidel Method ""
""2.4 P-Q Decoupling Method """"2.4.1 Fast Decoupled Power Flow ""; ""2.4.2 Decoupled Power Flow without Major Approximation ""; ""2.5 DC Power Flow ""; ""2.6 State Estimation ""; ""2.6.1 State Estimation Model ""; ""2.6.2 WLS Algorithm for State Estimation ""; ""Problems and Exercises ""
Summary: "Optimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important areas that are not covered in existing books: uncertainty analysis in power systems; steady-state security region analysis; optimal load shedding; and optimal reconfiguration of electric distribution networks. The book covers both traditional and modern technologies, including power flow analysis, steady-state security region analysis, security constrained economic dispatch, multi-area system economic dispatch, unit commitment, optimal power flow, smart grid operation, optimal load shed, optimal reconfiguration of distribution network, power system uncertainty analysis, power system sensitivity analysis, analytic hierarchical process, neural network, fuzzy theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others. New topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, are also addressed. The application of renewable energy and operation of smart grid is also included in the book"-- Provided by publisher.Summary: "Addresses advanced methods and optimization technologies and their applications in power systems"-- Provided by publisher.
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Includes bibliographical references and index.

"Optimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important areas that are not covered in existing books: uncertainty analysis in power systems; steady-state security region analysis; optimal load shedding; and optimal reconfiguration of electric distribution networks. The book covers both traditional and modern technologies, including power flow analysis, steady-state security region analysis, security constrained economic dispatch, multi-area system economic dispatch, unit commitment, optimal power flow, smart grid operation, optimal load shed, optimal reconfiguration of distribution network, power system uncertainty analysis, power system sensitivity analysis, analytic hierarchical process, neural network, fuzzy theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others. New topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, are also addressed. The application of renewable energy and operation of smart grid is also included in the book"-- Provided by publisher.

"Addresses advanced methods and optimization technologies and their applications in power systems"-- Provided by publisher.

Print version record.

""Cover ""; ""Contents ""; ""Preface ""; ""Preface to the First Edition""; ""Acknowledgments""; ""Author Biography""; ""Chapter 1 Introduction ""; ""1.1 Power System Basics ""; ""1.1.1 Physical Components ""; ""1.1.2 Renewable Energy Resources ""; ""1.1.3 Smart Grid ""; ""1.2 Conventional Methods ""

""1.2.1 Unconstrained Optimization Approaches """"1.2.2 Linear Programming ""; ""1.2.3 Nonlinear Programming ""; ""1.2.4 Quadratic Programming ""; ""1.2.5 Newton's Method ""; ""1.2.6 Interior Point Methods ""; ""1.2.7 Mixed-Integer Programming ""; ""1.2.8 Network Flow Programming ""

""1.3 Intelligent Search Methods """"1.3.1 Optimization Neural Network ""; ""1.3.2 Evolutionary Algorithms ""; ""1.3.3 Tabu Search ""; ""1.3.4 Particle Swarm Optimization ""; ""1.4 Application of The Fuzzy Set Theory ""; ""References ""; ""Chapter 2 Power Flow Analysis ""

""2.1 Mathematical Model of Power Flow """"2.2 Newton-Raphson Method ""; ""2.2.1 Principle of Newton-Raphson Method ""; ""2.2.2 Power Flow Solution with Polar Coordinate System ""; ""2.2.3 Power Flow Solution with Rectangular Coordinate System ""; ""2.3 Gauss-Seidel Method ""

""2.4 P-Q Decoupling Method """"2.4.1 Fast Decoupled Power Flow ""; ""2.4.2 Decoupled Power Flow without Major Approximation ""; ""2.5 DC Power Flow ""; ""2.6 State Estimation ""; ""2.6.1 State Estimation Model ""; ""2.6.2 WLS Algorithm for State Estimation ""; ""Problems and Exercises ""

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